Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
We formulate and solve the problem of a homeowner who wants to sell her house for the maximum possible price net of transactions costs. We estimate this model using data on transaction histories for 780 residential properties in England. The estimated model fits list price dynamics and other key features of the data. In particular, a tiny menu cost of changing the listing price, as little as ten thousandths of 1% of the house value, is sufficient to explain the high degree of stickiness of listing prices observed in the data.